Nina Tahmasebi

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 19 citations into it
• Artificial Intelligence — 17 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Nina Tahmasebi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. William L. Hamilton
2. Mark Davies
3. Tomas Mikolov
4. Robert Bamler

Papers from Nina Tahmasebi's perspective

Ordered by how strongly the researchers Nina Tahmasebi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change (2019) — 108 citations